AI/ML Engineer

Great ideas come from different minds.

That’s why we bring together engineers, scientists, analysts, and creatives from every background — and give them the trust, tools, and freedom to make a difference.

What connects us is the mission: solving meaningful problems and building capability that protects what matters most.

And as the challenges evolve, so do we — working on the technologies that will shape tomorrow, not just today.

As a Senior AI/ML/Computer Vision Engineer, you will be an experienced researcher or developer with a strong interest in state-of-the-art AI, Machine Learning, and Computer Vision technologies.

The Senior AI/ML/Computer Vision Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically Complex or Novel Research), delivering within and taking a leading technical role within teams of engineers in delivering a mixture of small, early-stage research projects and algorithmic components of larger, multi-disciplinary development programmes.

Roke are a leading technology & engineering company with clients spanning National Security, Defence, Intelligence and Commercial markets.

You will work alongside our customers to solve their complex and unique challenges.

As our next Senior AI/ML/Computer Vision Engineer, you’ll be primarily “hands on” and actively providing technical expertise across a broad range of AI/ML and Computer Vision disciplines, including 2D/3D computer vision, Reinforcement Learning, LLMs and NLP.

• Proven experience in AI/ML/Computer Vision R&D (e.g. detection, classification, segmentation, forward/backward projection, measurement, reinforcement learning, NLP, also including Large Language Models).
• Significant experience conceiving novel applications of AI/ML techniques, particularly adapting and applying academic research, and developing and maturing a set of capabilities towards deployable solutions for real-world end-user applications.
• Strong understanding of and experience in software engineering - Experience of working in, and leading, agile teams and delivering complexity at pace. This includes experience developing with widely used software tooling and development languages across both algorithm and application development (such as Python, JavaScript, Rust) and covering a modern MLOps and CI/CD software engineering lifecycle (data management and augmentation, end-to-end model development, performance analysis, Test Driven Development).